italyfiori / TinyDeepLearningLinks
a simple deep learning framework implemented from scratch using Python.
☆33Updated 4 years ago
Alternatives and similar repositories for TinyDeepLearning
Users that are interested in TinyDeepLearning are comparing it to the libraries listed below
Sorting:
- Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy☆414Updated 3 years ago
- PyTorch中文入门教程☆43Updated 8 years ago
- 本项目代码为雷明老师18年12月在清华出版社出版的《机器学习与应用》第一版中的配套代码,欢迎登录www.sigai.cn试听雷老师《机器学习》《深度学习》视频☆154Updated 6 years ago
- 比赛开源汇总☆81Updated 6 years ago
- 🍋Machine Learning library from scratch.🍋☆30Updated 5 years ago
- 思维误区: 用理想模型来思考复杂现实问题☆39Updated 5 years ago
- Super-Machine-Learning-Revision-Notes☆75Updated 6 years ago
- python3实现的《统计学习方法》☆21Updated 6 years ago
- ☆46Updated 4 years ago
- 《深度学习理论与实战:基础篇》代码☆136Updated 4 years ago
- cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…☆208Updated 4 years ago
- bert4keras实现gpt下中国象棋☆46Updated 4 years ago
- 比赛和AI学习☆18Updated 6 years ago
- 高效决策树算法系列笔记☆229Updated 6 years ago
- Simple demos for beginners of Tensorflow!☆21Updated 6 years ago
- 机器学习竞赛信息聚合(Machine learning competition information aggregation)☆132Updated 2 years ago
- 用例子学习PyTorch1.0(Learning PyTorch with Examples 中文翻译与学习)☆78Updated 6 years ago
- 使用tensorflow.keras实现《动手学深度学习》☆10Updated 5 years ago
- 《Pattern Recognition and Machine Learning》阅读讨论班☆35Updated 6 years ago
- ☆12Updated 6 years ago
- Build neural networks based only on Numpy☆170Updated 2 years ago
- Learn Computer Vision The Hard Way,通过实际案例来学习计算机视觉。☆74Updated 5 years ago
- an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架☆99Updated 5 years ago
- 深度学习处理数据的一些基本操作☆34Updated 6 years ago
- 高校赛2019 文本点击预测☆43Updated 5 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆62Updated 8 years ago
- CCF BDCI 2019 “技术需求”与“技术成果”项目之间关联度计算模型 复赛B榜top1解决方案☆77Updated 2 years ago
- saving memory by recomputing for keras☆37Updated 5 years ago
- 《机器学习之类别不平衡问题》文章代码☆47Updated 6 years ago
- 根据别人和自己在机器学习岗、深度学习岗的面试问题以及答案总结☆36Updated 6 years ago